Scale up B2B Data Management with Artificial Intelligence

1. Scale up B2B Data Management with Artificial Intelligence

2. INTRODUCTION • Artificial intelligence has been creating quite a buzz in our current lifestyle & the ways businesses are no exception • There are many reports which say that about 80% of B2B marketing executives believe that artificial intelligence will revolutionize the field in the next four years • Artificial intelligence has also made its step in data management for corporate organizations • Digital gold rush is the new treasure hunt in the market today & everyone knows that everyone wants a piece of it

3. Artificial intelligence & data • It’s true that marketers are not strangers to data but we marketers spend a lot of time reviewing & cleansing data to get a complete picture of prospects & customers • With artificial intelligence, you will be able to tap into larger data set with ease to paint a more relevant picture of the business process • This results incorporates to assign employees to handle separate projects or existing employees to handle more work • It’s normal for businesses to want rapid data access. But unstructured data remains a major reason on why data management presents difficulties for businesses, which distracts executives from the main business goals

4. Let’s imagine a small scenario • A company gets its hands on a huge amount of dark data, the majority of which the existing employees of the organization are not aware of. This is where the importance of artificial intelligence, analytics, and machine learning comes up. • Together, they act as superheroes that can access the power of algorithms to classify various types of emails, images, documents, videos, etc. – which are stored on the servers. The only thing that’s left is then for an expert to review, tweak if necessary & implement into the business model. A significant problem of data retention can also be solved with this process. • What we can get to know from this scenario is that technology is not as discerning as the employees of a company as Analytics, AI, and machine learning can identify data that are rarely or never used in an objective manner.

5. Real time effect • Digital marketing experts around the world have been parroting the term “real time” while they describe the pre-sales efforts or customer service • The arrival of machine learning has boosted the scene of real time to the next level • Artificial intelligence has successfully broken all the barriers that stopped businesses from reaching their prospects • A machine is all that is needed in today’s age to process the online data crafted by the behavioral pattern to produce solutions that are relevant • customer-specific along with forecasting future buying trends based on past purchase patterns • Artificial intelligence enables the fetching of real time data 24/7 allowing companies to analyze it for generating powerful actionable insights

6. Adapt AI, Improve & Overcome • In today’s world of business, data needs to be flowing & available in real time. Artificial intelligence makes it possible & acts as a powerful foundation for impending competitive advantage • This technology is more effective than the traditional models primarily because it uses machine learning to improve itself on which class of data will be more useful • Artificial intelligence also helps out in automatically storing data in slow or fast storage, depending upon the business rules that is established by the machine’s algorithm

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